title: Identifying the high-risk areas and associated meteorological factors of dengue transmission in Guangdong Province, China from 2005 to 2011.
abstract: We examined the spatial distribution pattern and meteorological drivers of dengue fever (DF) in Guangdong Province, China. Annual incidence of DF was calculated for each county between 2005 and 2011 and the geographical distribution pattern of DF was examined using Moran's I statistic and excess risk maps. A time-stratified case-crossover study was used to investigate the short-term relationship between DF and meteorological factors and the Southern Oscillation Index (SOI). High-epidemic DF areas were restricted to the Pearl River Delta region and the Han River Delta region, Moran's I of DF distribution was significant from 2005 to 2006 and from 2009 to 2011. Daily vapour pressure, mean and minimum temperatures were associated with increased DF risk. Maximum temperature and SOI were negatively associated with DF transmission. The risk of DF was non-randomly distributed in the counties in Guangdong Province. Meteorological factors could be important predictors of DF transmission.
authors.affiliation: State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing, China.
authors.forename: J
authors.initials: J
authors.lastname: Fan
authors.affiliation: Guangdong Provincial Institute of Public Health, Guangzhou, China.
authors.forename: H
authors.initials: H
authors.lastname: Lin
authors.affiliation: State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing, China.
authors.forename: C
authors.initials: C
authors.lastname: Wang
authors.affiliation: State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing, China.
authors.forename: L
authors.initials: L
authors.lastname: Bai
authors.affiliation: State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing, China.
authors.forename: S
authors.initials: S
authors.lastname: Yang
authors.affiliation: Centre for Environment and Population Health, Griffith University, Brisbane, Australia.
authors.forename: C
authors.initials: C
authors.lastname: Chu
authors.affiliation: Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China.
authors.forename: W
authors.initials: W
authors.lastname: Yang
authors.affiliation: State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing, China.
authors.forename: Q
authors.initials: Q
authors.lastname: Liu
mesh_terms: D000330:Aedes; D000818:Animals; D002681:China / Q000453:epidemiology; D018592:Cross-Over Studies; D003715:Dengue / Q000453:epidemiology / Q000635:transmission*; D006801:Humans; D007303:Insect Vectors; D008685:Meteorological Concepts